$$ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Self-defined math definitions %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Math symbol commands \newcommand{\intd}{\,{\rm d}} % Symbol 'd' used in integration, such as 'dx' \newcommand{\diff}{{\rm d}} % Symbol 'd' used in differentiation ... $$
摘要: 1.朴素贝叶斯的使用条件 朴素贝叶斯方法假设条件概率分布是相互独立的,这个假设会使每个属性独立的对分类结果产生影响 因此,根据独立性有,$p(x_1,x_2,...,x_n|C) = p(x_1|C)p(x_2|C)...p(x_n|C),其中x_n是特征,C是分类的类别$ 2.贝叶斯公式 由于朴素 阅读全文
posted @ 2019-01-29 20:29 V丶vvv 阅读(354) 评论(0) 推荐(0) 编辑